Scilab 5.3.3
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mutation_ga_default
A continuous variable mutation function
Calling Sequence
Mut_Indiv = mutation_ga_default(Indiv,param)
Arguments
- Indiv
The individual to be mutated.
- param
a list of parameters.
'delta': a random perturbation will be sampled via an uniform distribution between -delta and + delta.
'minbound': a vector of minimum bound for the variable X.
'maxbound': a vector of maximum bound for the variable X.
- Mut_Indiv
The resulting mutated individual.
Description
This function performs the classical continuous variable mutation function.
See Also
- mutation_ga_binary — A function which performs binary mutation
- crossover_ga_default — A crossover function for continuous variable functions
- init_ga_default — A function a initialize a population
- optim_ga — A flexible genetic algorithm
Authors
- Yann COLLETTE
ycollet@freesurf.fr
| << mutation_ga_binary | Genetic Algorithms | optim_ga >> |